All projects from the School of Engineering
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SWEET LANTERN – Living Labs Interfaces for Energy Transition
The aim of the LANTERN proposal is to co-design, test, validate, and scale up a portfolio of interventions for a user-empowered, decarbonized, resource efficient and sufficient Switzerland. We will achieve it through applied research and development at the interface between markets, technology, policies, and ...
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AC3T – AI powered CBCT for improved Combination Cancer Therapy
The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms. ...
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DECIDE - Digital Enabling of Circularity, Innovation, Development and Environment (UNEP)
The goal of this project is to lay the technological foundations for empowering various stakeholders to make fact-based decisions to achieve sustainable consumption and production. In particular, we will evaluate how various data science, machine learning and artificial intelligence methods can be used to extract ...
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Digital Transformation at the Local Tier of Government in Europe: Dynamics and Effects from a Cross-Countries and Over-Time Comparative Perspective (DIGILOG)
Background: Digital transformation constitutes one of the most important innovations at the local level of government and is expected to reshape local service delivery, public administration, and governance in Europe fundamentally. Most recently, the COVID-19 pandemic has shown the fundamental importance of a ...
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Gender Pay Gap Analysis
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Performance, Operation & Reliability of Photovoltaic-Systems
The overall objectives of the International Energy Agency Task 13 are to: Gather the most up-to-date information from each member country on a variety of technical issues related to PV performance and reliability. This will include summaries of different practices from each country, experiences with a variety of PV ...
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Surgical Proficiency – Data-driven transformation of surgical education for proficiency-based performance
Training on patients according to the principle of “see one, do one and teach one” no longer corresponds to today’s requirements and technical opportunities regarding education of surgical residents. During the Covid-19 pandemic, most hands-on training had to be discontinued, leading to an almost complete ...
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SWEET SWICE - Sustainable Wellbeing for the Individual and the Collectivity in the Energy transition
Spatial and temporal boundaries between living and working have become blurred by social processes of flexibilization and digitalization and accelerated by the coronavirus pandemic. These dynamics impact energy consumption in both the mobility sector (avoiding trips, reducing distances travelled, shifting trips to ...
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URBANBOX Solar Infrastructure Solution
Scope of the project is to enable competitive, large scale Photovoltaic (PV) power production by implementation of new features on already developed land with a retractable PV roof concept. Project innovations are less metal used for robust PV mounting structure, prefab assembly, automatic PV module cleaning and ...
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PRISM: Predicting Radicalization Events in Social Media User Timelines
The PRISM project focuses on detecting radicalization events in Social Media networks. Overall, we are interested in unveiling the mechanics that lead to the event of extremist ideology being transferred and incorporated into a social media user’s world view. Specifically, the proposed project aims to identify ...
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Automated Composite Compression-Zahnrad
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Data Driven Financial Risk and Regulatory Reporting (DaDFiR3)
DaDFiR3 pursues the vision of a system for automated regulatory financial reporting that uses financial contract-level data combined with market data to automatically produce the analyses required for internal and external oversight. Content and objective We will deploy an ICT infrastructure that provides a ...
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Development of a point of care device prototype for blood ammonia monitoring
Hyperammonemia and associated neurological manifestations (hepatic encephalopathy) lead to coma and death and incur high costs. It affects 30-45% of cirrhotic patients. A novel portable point of care device based on pH-gradient polymersomes for daily monitoring of ammonia will alleviate the burdens. ...
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End-to-End Data Driven Design of After-Sales-Services for Digital Cutters
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HONDA MES 2
In situ infrared spectroscopic approach to elucidate reaction mechanisms of exhaust gas purification catalysts
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Optimisation of the tooth root geometry of plastic gears
The use of plastic gears in drives is growing rapidly, especially in the module size range 0.5 to 1.5 mm and at maximum load cycles during the product life of 105 to 106. A key factor for reliability is the tooth root strength of the gears. Although injection moulding, which is the common production method for ...
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PHARAO
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Runtime-Optimised Business Object Transformation (ROBOT)
In the ROBOT project, new scalable methods and technologies to map strongly distributed data models, with as few lossy intermediate representations as possible, are being investigated. A key concern in that is raising the abstraction levels and resource planning compared to conventional big data programming ...
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ZHAW-PARC Hybrid Prognostics Research
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Utilisation of data along the product and customer life cycle to optimise the triple bottom line
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Car occupancy rate
The aim of the research project is to identify factors influencing the increase of car occupancy and the sharing of car journeys. In addition, a statistical model will be developed to evaluate the strength of the effects of the influencing factors. Finally, practical experience will be gathered through living labs ...
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DataInc – Intelligent Data Integration and Cleaning
Clean, reliable data is crucial to an increasinglydigitized financial industry. We currently observe alack of consistent, high-quality data across assetclasses which requires costly and time-intensivehuman intervention. We propose an AI-drivensolution to address this issue.
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MaintAIn - AI supported hybrid Predictive Maintenance
Current PdM approaches need large datasets, complex modelling and many sensors which do not scale to machines with little or no historical data. MaintAIn offers a new approach without prior data collection, as few sensors as possible and as simple analytical models as possible.
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NeO2-Sens
One of the great challenges of the future for humanity is the continuous increase in the demand for food production as well as in the greater stress on resources like water or land. Monitoring water quality is essential for efficient food production and water resources monitoring against pollution. The most ...
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Sensitivity improvement techniques for Raman scattering measurements
Raman spectroscopy is an established measurement method in process and quality control. One of the major challenges in achieving good signal-to-noise ratios due to the weakness of the Raman signal. Since the effective cross-section is very small, interfering signals (such as stray light and interference from ...